Service
Enterprise AI agents and RAG solutions
Design and implementation of AI agents, RAG, internal assistants and secure automations to reduce costs, speed up tasks and keep control over data and decisions.
Useful, secure and measurable AI agents
Many companies want to use AI, but real impact appears when it is applied to repetitive tasks, internal support, document analysis, operational support, reporting, sales or back office.
At Codefuente we identify use cases with clear return, connect AI with existing systems and design agents with permissions, traceability, human review and quality metrics.
The goal is not to add another tool, but to reduce operational costs, speed up processes and maintain security over data, access and critical decisions.
AI creates value when it is connected to specific processes, reliable data and security controls. We design solutions with human review, traceability, permissions, evaluation and clear limits so they can be used in production.
Typical results
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Fewer repetitive tasks and lower operational cost
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AI agents connected to real processes
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Faster analysis, support and back-office work
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Defined security controls and permissions
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Traceability and human review where it matters
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Measurable use cases before scaling
Frequently asked questions
What is the difference between a chatbot, an AI agent and RAG?
A chatbot converses with the user. An AI agent can also use tools and perform tasks within defined permissions. RAG retrieves documentation and sources to inform responses. We can combine these capabilities with large language models (LLMs) and generative AI according to the process and its risks.
What type of AI agents can you implement for a company?
Agents for document analysis, internal support, team assistance, report preparation, request classification, data extraction, back-office automation and integration with ERP, CRM or ecommerce systems.
How do you reduce security risks when using AI?
We design access controls, data separation, activity logs, human review, action limits and response evaluation. AI is integrated with explicit permissions and without unnecessary exposure of sensitive data.
Can AI really reduce costs?
Yes when applied to measurable processes: fewer repetitive tasks, fewer errors, shorter response times and more operational capacity without growing the team at the same pace.
Related case studies and resources
Real projects and practical analysis to help evaluate this service with more context.
Applied AI for business
10 AI solutions for businesses
From documents to customer service: practical use cases connecting artificial intelligence, people and systems.
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Administrative process automation
Who it helps SMEs and accounting firms
Classify emails, prepare drafts and suggest new records.
How to measure itMinutes per case and exception rate.
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Customer service agents
Who it helps Ecommerce and service businesses
Answer from documentation and hand incidents over to a person.
How to measure itVerified resolution, repeat contacts and handover time.
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Intelligent document processing
Who it helps Accounting firms, logistics and insurance
Extract data from invoices, delivery notes and case files with validation.
How to measure itField accuracy and review time.
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AI integrations with ERP and CRM
Who it helps Businesses using Odoo, SAP or HubSpot
Suggest updates and connect information between systems through their APIs.
How to measure itCorrect records, duplicates and reviewed operations.
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Internal documentation assistants
Who it helps Mid-sized companies
Look up procedures with sources and permissions for each user.
How to measure itVerified answers, correct citations and appropriate abstentions.
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Sales agents and lead follow-up
Who it helps B2B and real estate businesses
Prepare follow-ups and summarize opportunities for sales review.
How to measure itPreparation time and opportunities handled without duplicates.
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Natural language data analysis
Who it helps Management and finance
Query indicators using authorized data and verify calculations.
How to measure itResult accuracy and time to a useful answer.
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IT support automation
Who it helps Companies and IT departments
Classify tickets and suggest solutions with human escalation.
How to measure itTriage time, resolution time and reopened tickets.
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AI quality assurance and evaluation
Who it helps Companies already using AI
Evaluate responses, detect regressions and review failures before expanding use.
How to measure itFailure rate by category and coverage of critical cases.
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Software development automation
Who it helps Technology companies
Prepare tests, documentation and code proposals with technical review.
How to measure itDelivery time, defects and review effort.
Other services
We can also help with these connected areas.
Does this match your challenge?
Tell us the context and we will help define the most suitable technical and operational approach.